AMR Country Hotspots

##  Family: zero_inflated_poisson 
##   Links: mu = log; zi = logit 
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_pcu + ln_livestock_pcu + ln_migrant_pop_perc + ln_tourism_inbound_per_capita + ln_tourism_outbound_per_capita + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_gdp_per_capita + offset(ln_population) 
##          zi ~ ln_pubs_sum_per_capita + ln_gdp_per_capita + ln_population + english_spoken
##    Data: data[[i]] (Number of observations: 198) 
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
##          total post-warmup samples = 120000
## 
## Population-Level Effects: 
##                                     Estimate Est.Error l-95% CI u-95% CI
## Intercept                              -6.90      1.38    -9.67    -4.28
## zi_Intercept                           31.58      6.26    20.10    44.56
## ln_livestock_consumption_kg_per_pcu    -0.12      0.06    -0.23    -0.01
## ln_livestock_pcu                       -0.42      0.04    -0.49    -0.34
## ln_migrant_pop_perc                    -0.01      0.05    -0.12     0.08
## ln_tourism_inbound_per_capita           0.18      0.07     0.01     0.30
## ln_tourism_outbound_per_capita          0.02      0.12    -0.21     0.28
## ab_export_perc                          3.44      1.12     1.14     5.59
## health_expend_perc                      0.13      0.02     0.10     0.16
## human_consumption_ddd                   0.08      0.01     0.06     0.11
## english_spoken                         -0.14      0.13    -0.38     0.10
## ln_gdp_per_capita                       0.08      0.09    -0.10     0.24
## zi_ln_pubs_sum_per_capita              -0.20      0.20    -0.61     0.18
## zi_ln_gdp_per_capita                   -1.47      0.28    -2.05    -0.96
## zi_ln_population                       -1.25      0.22    -1.70    -0.85
## zi_english_spoken                      -0.97      0.64    -2.25     0.26
##                                     Eff.Sample Rhat
## Intercept                                  105 1.54
## zi_Intercept                             80955 1.00
## ln_livestock_consumption_kg_per_pcu        185 1.22
## ln_livestock_pcu                            89 1.77
## ln_migrant_pop_perc                         91 1.71
## ln_tourism_inbound_per_capita               75 2.23
## ln_tourism_outbound_per_capita              70 2.66
## ab_export_perc                             126 1.39
## health_expend_perc                         109 1.50
## human_consumption_ddd                       96 1.64
## english_spoken                             100 1.59
## ln_gdp_per_capita                           90 1.73
## zi_ln_pubs_sum_per_capita               110763 1.00
## zi_ln_gdp_per_capita                     86375 1.00
## zi_ln_population                         79257 1.00
## zi_english_spoken                         1118 1.03
## 
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample 
## is a crude measure of effective sample size, and Rhat is the potential 
## scale reduction factor on split chains (at convergence, Rhat = 1).

## [1] TRUE